At A Glance
-Experian’s 2026 State of advertising report shows that advertising trends in 2026 will be defined by how well organizations connect data, identity, and measurable outcomes. Leaders across the ecosystem point to five themes: AI that reshapes workflows, measurement that guides decisions earlier, identity and privacy as strategic inputs, channels aligning around outcomes, and identity connecting planning, activation, and measurement.What advertising trends does Experian’s 2026 State of advertising report highlight?
2026 State of advertising report
Experian’s 2026 State of advertising report shows that advertising trends in 2026 will be defined by how well organizations connect data, identity, and measurable outcomes. Our 2026 State of advertising report brings together perspectives from 14 leaders operating across key parts of the advertising ecosystem to show how these shifts are taking shape in practice.
Who’s featured in Experian’s 2026 State of advertising report?
Our 2026 State of advertising report includes perspectives from 14 leaders across the ecosystem covering a variety of topics including:
These perspectives reflect directional signals from leaders across the ecosystem. They are not exhaustive views of any one vertical. They are operational insights from teams navigating change in real time.
In addition to the written analysis, you can watch the full one-on-one Q&A conversations with each partner here.
What signals are shaping advertising trends in 2026?
Five signals are shaping advertising trends in 2026. Together, they explain why advertising trends in 2026 center on clarity, connection, and measurable outcomes. Across every conversation with our partners, five themes stand out:
Below, we spotlight three perspectives from our report.
Scott Bender’s perspective on AI-driven workflows
Scott Bender, Head of Publisher & Platform Partnerships at Newton Research, is a media and AdTech veteran who has led go to market and revenue teams across traditional media, retail media, consulting, andearly stagestartups, helping organizations translate data and product strategy into scalable commercial growth.
How is AI moving upstream into planning and measurement?
AI is changing how teams work before campaigns run. Teams apply AI to planning and measurement first, then scale into activation with clear rules and human oversight.
AI’s first impact is operational
Teams are applying AI to planning and measurement before activation. The early gains are showing up in analytics, forecasting, and workflow compression, especially in areas constrained by time and data science resources.
Automation works when humans define the rules
Repeatable, rules-based processes are where AI performs best today. Strategy, guardrails, and judgment remain human-led. AI scales execution without removing accountability.
The biggest barrier in AI is rethinking workflows
AI adoption slows when teams try to layer automation onto legacy playbooks. Progress happens when workflows are redesigned for agentic execution, rather than human-only processes.
“The workflows we’ve built for humans don’t always make sense for AI. Progress comes when teams redesign how work gets done, not when they simply add automation.”
Newton ResearchScott Bender, Head of Publisher & Platform Partnerships
If advertisers fix one thing in 2026
Focus on data context. Not perfect data, but a clear semantic layer that defines what data means and how it should be interpreted and used.
Watch our agentic media panel at CES 2026
Greg “Arch” Archibald’s perspective on commerce media’s expansion
Greg “Arch” Archibald is VP, Global Ad Sales at PayPal. A sales leader for nearly 25 years, Arch has worked at some of the largest AdTech companies in the world. Now with PayPal Ads, he is helping build the foundation upon which advertisers can use true intent-based signals to inform advertising campaigns.
How is commerce media expanding beyond retail?
Commerce media is extending into more ecosystems and more purchase moments. Commerce media is defined through transactions that show what people buy, not intent signals that imply what people might buy.
Commerce media is defined by transactions, not intent
Commerce media is fundamentally powered by transactional data. Unlike retail media, which is often intent-led and vertically confined, commerce media spans horizontally across merchants, payment platforms, and ecosystems, providing a clearer view of the full consumer purchase journey.
Transactional data is the true differentiator
As basic targeting and inventory become commoditized, the ability to activate transactional signals at scale is what separates effective commerce media strategies. These signals help brands connect upper-funnel investment to conversion and prove measurable outcomes.
On-site validates performance, off-site drives reach
Effective commerce strategies balance both on-site and off-site, focusing less on where ads run and more on who is being reached based on real purchase behavior.
“Transactional data is a powerful signal that helps brands reach consumers more effectively and connect upper-funnel investment to measurable outcomes.”
PayPalGreg “Arch” Archibald, VP, Global Ad Sales
If advertisers fix one thing in 2026
Prioritize transactional signals over intent proxies to connect spend to outcomes.
Cristin Liberatore’s perspective on healthcare marketing
Cristin Liberatore,Sr. Director, Commercial Strategy for Pharma, IQVIA Digital, has over a decade of experience leading commercial and product strategy for data‑driven healthcare solutions, developing frameworks at IQVIA Digital that connect data, analytics, and omnichannel execution to drive meaningful business results.
How do identity and privacy work together in regulated markets like healthcare?
Healthcare marketing uses a dual approach that reflects distinct audiences and data environments. Teams succeed when they connect identity and privacy through governance that supports personalization and outcome measurement.
Healthcare requires two playbooks: HCP and consumer
On the healthcare professional (HCP) side, personalization benefits from deterministic identity and high-fidelity signals that enable “read, respond, act” marketing. On the consumer side, data is more disparate, making identity resolution and privacy-safe connection across data sets essential for relevant personalization.
Timeliness is the difference between insight and impact
Healthcare data varies widely in latency. The most effective marketing is powered by timely signals. Fresh signals influence whether brands respond in meaningful moments along diagnostic and treatment pathways.
Sustainable identity depends on governance
An identity spine paired with de-identification methodology and strong compliance frameworks allows exposure to connect to outcomes such as script lift, without compromising privacy.
“Across data, activation, and measurement, healthcare marketing works best when privacy and personalization are balanced, as that push pull is ubiquitous with consumer marketing in healthcare.”
IQVIA DigitalCristin Liberatore, Sr. Director, Commercial Strategy for Pharma
If advertisers fix one thing in 2026
Invest in a connected identity spine that balances timeliness, personalization, and privacy across the full care journey.
Watch our healthcare marketing panel at CES 2026
What do 2026 advertising trends mean for advertisers?
In 2026, success will be shaped by how well advertisers connect data, decisioning, and outcomes across an increasingly complex ecosystem. The leaders featured in this report consistently point to connection as the defining factor for progress.
The shifts advertisers must act on
- Audiences, not channels, define strategy. Planning anchored in identity and behavior scales more effectively across screens, platforms, and formats.
- Measurement moves upstream.Outcomes now inform optimization in real time,rather than serving a post-campaign validation.
- First-party data becomes infrastructure. Activation, data governance, and interoperability matter more than ownership alone.
- AI accelerates decisions, not accountability. Automation works best when paired with clear rules, transparency, and human oversight.
- Privacy is a growthlever.Consent-driven, privacy-first design enables durable performance at scale.
Advertisers that lead in 2026 will:
- Connect planning, activation, and measurement into a single operatingframework
- Invest in data and identity foundations before expanding into new channels
- Work withpartners that reduce fragmentation, not add to it
To see how these signals play out across AI, commerce media, healthcare, and more, download our 2026 State of advertising report and watch the Q&A videos with our partners.
FAQs
A CMO should treat advertising trends in 2026 as a shift in how teams plan, activate, and measure, not a channel shift. Teams get stronger performance when they connect data, identity, and measurement into one decision loop that guides planning, activation, and optimization.
Measurement moves closer to the moment of decision when teams use outcomes to steer optimization in real time. That approach turns measurement into a planning input that shapes budget allocation, audience strategy, and creative decisions across the lifecycle of a campaign.
Experian helps marketers connect identity, data, and measurement so teams plan and activate with consistency across platforms. Experian’s data and identity foundation supports audience connection and privacy-forward activation, and Experian’s measurement approach links media exposure to outcomes for clearer decisioning.
Latest posts
In our Ask the Expert series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts
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